Anger and Its direction in collaborative software development

D. Gachechiladze, F. Lanubile, N. Novielli, A. Serebrenik

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

49 Citations (Scopus)

Abstract

Recent research has provided evidence that software developers experience a wide range of emotions. We argue that among those emotions anger deserves special attention as it can serve as an onset for tools supporting collaborative software development. This, however, requires a fine-grained model of the anger emotion, able to distinguish between anger directed towards self, others, and objects. Detecting anger towards self could be useful to support developers experiencing difficulties, detection of anger towards others might be helpful for community management, detecting anger towards objects might be helpful to recommend and prioritize improvements. As a first step towards automatic identification of anger direction, we built a classifier for anger direction, based on a manually annotated gold standard of 723 sentences that were obtained by mining comments in Apache issue reports.
Original languageEnglish
Title of host publication39th International Conference on Software Engineering, New Ideas and Emerging Results
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages11-14
Number of pages4
ISBN (Electronic)978-1-5386-2675-7
ISBN (Print)978-1-5386-2676-4
DOIs
Publication statusPublished - Nov 2017
Event39th International Conference on Software Engineering (ICSE), May 20-28, 2017, Buenos Aires, Argentina - Buenos Aires, Argentina
Duration: 20 May 201728 May 2017

Conference

Conference39th International Conference on Software Engineering (ICSE), May 20-28, 2017, Buenos Aires, Argentina
Country/TerritoryArgentina
CityBuenos Aires
Period20/05/1728/05/17

Keywords

  • anger direction
  • collaborative software development
  • emotion mining
  • issue tracking systems

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